Analysis Of Factors Affecting Breast Cancer At Haji General Hospital Medan Using The Principal Component Analysis Method

Khairiyah Nurfalija Daulay

Abstract


Based on data from the International Agency for Research on Cancer in Globocan (Globocan cancer Statistics) in 2020, breast cancer was ranked first with 68,858 cases (16.6%) of the total 396,914 new cases of cancer in Indonesia. This study aims to determine the factors that have the greatest influence on breast cancer patients at Haji General Hospital Medan. This research was conducted using factor analysis with the Principal Component Analysis (PCA) method. It is hoped that this will provide additional information for the pathology team at Haji Hospital Medan in detecting breast cancer. The population that was also sampled in this study was ≤ 153 data on breast cancer patients at Haji General Hospital Medan in 2022. The results of factor analysis using the PCA method showed that breast cancer at Haji General Hospital Medan 2022 was influenced by three main factors amounting to 57.135011. The main factor that most influences breast cancer is gender with the component having the highest eigenvalue of 1.59666 with a total percentage of variance (cumulative percent of variance) of 22.63581.

Keywords


Breast Cancer; Analysis; PCA; Detect.

Full Text:

PDF

References


Zafrial, R. M., & Amalia, R. (2018). Artikel Tinjauan: Anti Kanker Dari Tanaman Herbal. Farmaka, 16(1), 15–23.

Direktorat Pengendalian Penyakit Tidak Menular. (2014). Buku Saku Pencegahan Kanker Leher Rahim dan Kanker Payudara. Departemen Kesehatan RI.

Wiratmanto. (2014). Analisis faktor dan Penerapannya dalam Mengidentifikasi FaktorFaktor yang Mempengaruhi Kepuasan Konsumen Terhadap Penjualan Media Pembelajaran. Universitas Negeri Yogyakarta.

Nyoman Radiarta, I., Akhmad Mustafa, dan, Penelitian dan Pengembangan Perikanan Budidaya Jl Ragunan, P., Minggu, P., Selatan, J., & Penelitian dan Pengembangan Budidaya Air Payau, B. (2012). Sitakka No. 129, Maros 90512. In Februari.

Wangge, M. (2021). Penerapan Metode Principal Component Analysis (PCA) Terhadap Faktor- faktor yang Mempengaruhi Lamanya Penyelesaian Skripsi Mahasiswa Program Studi Pendidikan Matematika FKIP UNDANA. 05(02), 974–988.

Fauzi, A., Supriyadi, R., & Maulidah, N. (2020). Deteksi Penyakit Kanker Payudara dengan Seleksi Fitur berbasis Principal Component Analysis dan Random Forest. In Jurnal (Vol. 2, Issue 1). http://ejournal.bsi.ac.id/ejurnal/index.php/infortech96

Kusuma, F. M., & Wibowo, A. (2017). kusuma. Biometrika Dan Kependudukan, 6(2), 89–97. Manullang, S., Aryani, D., & Rusydah, H. (2023). Analisis Principal Component Analysis (PCA) dalam Penentuan Faktor Kepuasan Pengunjung terhadap Layanan Perpustakaan Digilib. Edumatic: Jurnal Pendidikan Informatika, 7(1), 123–130. https://doi.org/10.29408/edumatic.v7i1.14839

Santoso, S. (2012). Aplikasi SPSS pada Statistik Multivariat (Revisi). Elex Media Komputindo. Simarmata, I., Arma, A. J. A., & Arnita. (2015). arma. Kebijakan, Promosi Dan Biostatistika, 1(2), 1–10.

Santoso, S. (2010). Mastering SPSS 18 (1st ed.). Elex Media Komputindo.

Nasution, M. Z., Nababan, A. A., Syaliman, K. U., Novelan, M. S., Jannah, M., Dan Teknologi, S., Lunak, R. P., Informatika, T., Pancabudi, U. P., Jendral, J., & Subroto, G. (2019). Penerapan Principal Component Analysis (PCA) Dalam Penentuan Faktor Dominan Yang Mempengaruhi Pengidap Kanker Serviks (Studi Kasus: Cervical Cancer Dataset). Jurnal Mantik Penusa, 3(1), 204–210.

Johnson, R. A., & Wichern, D. W. (2007). Applied Multivariate Statistical Analysis (6th ed). Pearson Prentice Hall.

Jolliffe, I. T. (2002). Principal Component Analysis (2nd ed.). Springer Science & Business Media.

Muliady Faisal, Syalam Ali Wira Dinata, & Dewi Ratna Sari. (2023). Analisis Komponen Utama Pada Dinas Ketenagakerjaan Bagian Penempatan Dan Perluasan Kerja Mencari Pekerjaan Menurut Golongan Pekerjaan. Journal of Innovation Research and Knowledge, 2(12), 4561–4568. https://doi.org/10.53625/jirk.v2i12.5627

Fadilah, F., & Mahyuny, S. R. (2019). Analisis Faktor Yang Mempengaruhi Locus Of Control Mahasiswa Pendidikan Matematika FKIP Universitas Samudra. Jurnal IPA & Pembelajaran IPA, 2(2), 100–105. https://doi.org/10.24815/jipi.v2i1.10731




DOI: http://dx.doi.org/10.30829/zero.v8i1.20713

Refbacks

  • There are currently no refbacks.


Creative Commons License
This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License.

SLOT GACOR

SLOT GACOR

SLOT GACOR

SLOT GACOR

SLOT GACOR

SLOT GACOR

Department of Mathematics
Faculty of Science and Technology
Universitas Islam Negeri Sumatera Utara Medan 

Email: mtk.saintek@uinsu.ac.id

situs scatter hitam